Remove categories playbook
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This AI newsletter is all you need #85

Towards AI

While Google sticks to OpenAI’s closed-source API model release playbook, there were advances in open-source LLMs this week. This post will classify different ways that crypto + AI could intersect, as well as the prospects and challenges of each category. Repositories & Tools 1.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

You can use services like AWS Security Hub to centralize and automate your security checks to detect deviations from security best practices and accelerate investigation and automate remediation of security findings with playbooks.

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Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

AWS Machine Learning Blog

Storing responses and returning it to the user: The response from the LLM is stored in Amazon DynamoDB along with the user’s query, the timestamp, a unique identifier, and other arbitrary identifiers for the item such as question category.

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Standout Insights from Season 1 of Data Radicals

Alation

Data leaders are business leaders Moment: Caroline Carruthers , co-author of The Chief Data Officers Playbook , argued that the best CDOs aren’t just birdlike generalists, but passionate and empathetic to the pains of their colleagues. Your situation is set, just thank the gods — the genetic gods — for giving you these gifts.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

And then, I developed a playbook for how to make these transitions. Mikiko Bazeley: I think it comes down to understanding the different types of feature stores that are out there, and even understanding why a virtual feature store is maybe just a terrible name for what FeatureForm is category-wise; it’s not very descriptive.

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Google Research, 2022 & Beyond: Responsible AI

Google Research AI blog

Top Theme 3: Tooling and Techniques Responsible Data Data Documentation: Extending our earlier work on Model Cards and the Model Card Toolkit , we released Data Cards and the Data Cards Playbook , providing developers with methods and tools to document appropriate uses and essential facts related to a model or dataset.

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What Does GPT-3 Mean For the Future of MLOps? With David Hershey

The MLOps Blog

One category to think about is if we don’t need to train models anymore for some set of things, What activities are we taking part in? I think that’s like a tooling category of its own. But not every use case is going to be immediately solved; Language models are good, but they’re not everything yet.

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